Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet
The global use of IoT-enabled devices powered by renewable energy can create a smart, efficient, and eco-friendly network. By leveraging data analytics and machine learning, these systems can predict energy consumption, optimize resources, and maintain renewable energy assets proactively. IoT devic...
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| Format: | Article |
| Language: | English |
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Faculty of Engineering, University of Kufa
2025-02-01
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| Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
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| Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/17351 |
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| author | Shojib Mia Firoz Ahmed Ibrahim Khan Md. Emamul Kabir Mehedi H. Roni Khadijatul Cobra Anjuman Ara Khatun Shahriar Mahmud |
| author_facet | Shojib Mia Firoz Ahmed Ibrahim Khan Md. Emamul Kabir Mehedi H. Roni Khadijatul Cobra Anjuman Ara Khatun Shahriar Mahmud |
| author_sort | Shojib Mia |
| collection | DOAJ |
| description | The global use of IoT-enabled devices powered by renewable energy can create a smart, efficient, and eco-friendly network. By leveraging data analytics and machine learning, these systems can predict energy consumption, optimize resources, and maintain renewable energy assets proactively. IoT device adoption is rapidly increasing, with a projected 13% growth in 2024, bringing the total to 18.8 billion devices globally. However, there is a critical need for advanced applications of IoT technology, improved sensors implementation, and up-to-date software development to control IoT devices which is essential to fully harness renewable energy and combat global warming, ultimately achieving the vision of a smart green planet. This review examines the operational and technical needs of IoT devices, their integration with various renewable energy sources using Raspberry Pi or Arduino platforms equipped with sensors (such as motion, vibration, flow, and gyroscope), and the application of machine learning in IoT devices to showcase the potential of these technologies in fostering a smart, green world. To further this investigation, the study thoroughly examined the pros and cons of integrating various renewable energy sources to develop smart systems, such as smart grids, smart cities, smart transportation, and smart waste collection. Additionally, this study also examines the challenges faced by smart IoT systems, providing critical analysis and identifying promising directions for future advancements.
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| format | Article |
| id | doaj-art-8ade732dccc04a599052924fbad0493b |
| institution | Kabale University |
| issn | 2071-5528 2523-0018 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Faculty of Engineering, University of Kufa |
| record_format | Article |
| series | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
| spelling | doaj-art-8ade732dccc04a599052924fbad0493b2025-02-06T07:52:27ZengFaculty of Engineering, University of KufaMağallaẗ Al-kūfaẗ Al-handasiyyaẗ2071-55282523-00182025-02-01160136140410.30572/2018/KJE/160121Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green PlanetShojib Mia0https://orcid.org/0000-0001-9443-6048Firoz Ahmed1Ibrahim Khan2Md. Emamul Kabir3Mehedi H. Roni4Khadijatul Cobra5Anjuman Ara Khatun6https://orcid.org/0009-0009-2508-024XShahriar Mahmud7Department of Chemistry, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj-8100, Bangladesh.Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI, 48202, USA.Department of Chemistry, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj-8100, Bangladesh.Department of Chemistry, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj-8100, Bangladesh.Department of Applied Chemistry and Chemical Engineering, University of Rajshahi, Rajshahi-6205 Bangladesh.Department of Life Technologies, University of Turku, 20014 Turku, Finland.Center for Crystal Science and Technology, Faculty of Engineering, University of Yamanashi, 7-32 Miyamae, Kofu 400-0021, Japan.Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USAThe global use of IoT-enabled devices powered by renewable energy can create a smart, efficient, and eco-friendly network. By leveraging data analytics and machine learning, these systems can predict energy consumption, optimize resources, and maintain renewable energy assets proactively. IoT device adoption is rapidly increasing, with a projected 13% growth in 2024, bringing the total to 18.8 billion devices globally. However, there is a critical need for advanced applications of IoT technology, improved sensors implementation, and up-to-date software development to control IoT devices which is essential to fully harness renewable energy and combat global warming, ultimately achieving the vision of a smart green planet. This review examines the operational and technical needs of IoT devices, their integration with various renewable energy sources using Raspberry Pi or Arduino platforms equipped with sensors (such as motion, vibration, flow, and gyroscope), and the application of machine learning in IoT devices to showcase the potential of these technologies in fostering a smart, green world. To further this investigation, the study thoroughly examined the pros and cons of integrating various renewable energy sources to develop smart systems, such as smart grids, smart cities, smart transportation, and smart waste collection. Additionally, this study also examines the challenges faced by smart IoT systems, providing critical analysis and identifying promising directions for future advancements. https://journal.uokufa.edu.iq/index.php/kje/article/view/17351iotrenewable energysmart citysmart transportationsmart green planet |
| spellingShingle | Shojib Mia Firoz Ahmed Ibrahim Khan Md. Emamul Kabir Mehedi H. Roni Khadijatul Cobra Anjuman Ara Khatun Shahriar Mahmud Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ iot renewable energy smart city smart transportation smart green planet |
| title | Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet |
| title_full | Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet |
| title_fullStr | Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet |
| title_full_unstemmed | Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet |
| title_short | Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet |
| title_sort | integrating renewable energy with internet of things iot pathways to a smart green planet |
| topic | iot renewable energy smart city smart transportation smart green planet |
| url | https://journal.uokufa.edu.iq/index.php/kje/article/view/17351 |
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